Responsibilities :

- Develop and deploy machine learning models to analyze audience behavior, campaign performance, and media efficiency.

- Design and build data integrations across CDPs, DMPs, clean rooms, and identity solutions to unify client and media data.

- Support the creation of predictive and prescriptive models for programmatic bidding, budget optimization, and outcome forecasting.

- Partner with product managers, strategists, and analytics leads to translate business challenges into data science solutions.

- Collaborate with the measurement and analytics teams to connect insights into dashboards and client deliverables.

- Identify and test new AI/ML solutions to drive optimization and innovation across programmatic, retail media, and performance platforms.

- Ensure all data use aligns with compliance, privacy, and governance standards.

Qualifications & Experience :

- 36 years experience as a Data Scientist/Analyst , ideally in media, ad tech, or digital platforms.

- Proficiency in Python, R, SQL, and common ML libraries (scikit-learn, TensorFlow, PyTorch).

- Experience with CDPs, identity resolution, clean rooms, or ad tech data flows is highly preferred.

- Strong understanding of programmatic media, digital KPIs, and performance optimization.

- Familiarity with any data visualization tools (Tableau, Power BI, Looker) and ability to support dashboard integration.

- Excellent problem-solving and analytical skills, with the ability to explain complex models to non-technical stakeholders.

- Degree in Computer Science, Data Science, Statistics, or related field. Masters preferred.